SIMP59: Data Selection and Visualisation, 7.5 credits VT25
This lecture focuses on multivariate data visualizations, demonstrating how to explore complex relationships between three or more variables using ggplot2 and dplyr data grouping. Participants will learn techniques for visualizing amounts, distributions, proportions, and x–y relationships while incorporating additional variables through color, size, and shape aesthetics. We will also cover methods for handling uncertainty in visualizations and using subplots and facets to effectively compare multiple groups within a dataset, enabling clearer insights into patterns and interactions in the data.
We will also focus on how to create dynamic and user-friendly visual representations using R. We will explore the basics of interactive plotting, including tools like plotly and ggplotly, as well as building interactive web applications with Shiny for R. Participants will also learn how to visualize results using 3D plots. Additionally, we will cover techniques for working with geospatial data, creating interactive maps to represent spatial patterns. Finally, the session will demonstrate best practices for publishing visualizations online, ensuring accessibility and engagement in data-driven storytelling.
Data collection (nov 12)
Exam question 1
Data analysis (nov 26)
Exam question 2
Workshop 2, dec 2
References